New Breast Measurement Technique and Bra Sizing System Based on 3D Body Scan Data

Oh, Seol-Young; Chun, Jongsuk

doi:10.5143/jesk.2014.33.4.299

Cited by 12 publications

(12 citation statements)

References 18 publications

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“…Bra sizing systems are built around dividing users into groups with similar body measurements. Body size determines the key primary dimensions of grouping [14]. The bra size is composed of Band size and Cup size, denoted by two primary dimensions: Bust and Underbust [14,15].…”

Section: Literature Reviewmentioning

confidence: 99%

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Design a Bra Sizing System for Vietnamese Women Based on 3d Scan Data

NGUYEN,

TRAN,

PENG

et al. 2023

Fibres and Textiles

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This study focuses on the body shape of Vietnamese women, collected from large-scale measurement data, to establish a bra size system for mature Vietnamese women aged 18 to 55. Measurement data was collected from 1100 subjects using a 3D scanner. During the data collecting process, 18 measurements at the chest area were classified and used for the research and analysis. Data analysis is performed by the Principal Component Analysis (PCA) method and Numerical Analysis. Mean and median values are used to understand the central tendency of sizing charts. Standard deviation is leveraged to derive size categories, intervals and separate the outliers. Two size-matching solutions are implemented to find the optimal sizing system. The result found a 26 sizes bra system which is a combination of 5 band sizes and 6 cup sizes, with a response rate of 98.27% based on the primary dimensions of bust girth and underbust girth. The study's results were compared with the bra size systems of some countries in Asia and around the world, showing that differences in body shape have led to differences in the systems. the number of sizes. The ultimate goal of this research is to systematically establish a data database with local characteristics and significance that will contribute to sustainable development in academic research, industrial production, application, commercial activities, and service design in the future. The results of this study are meaningful for bra manufacturers in the Vietnamese market and for women in selecting suitable bras for their somatotype.

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Section: Literature Reviewmentioning

confidence: 99%

“…Body size determines the key primary dimensions of grouping [14]. The bra size is composed of Band size and Cup size, denoted by two primary dimensions: Bust and Underbust [14,15]. Therein, the underbust measurement determines the size of the bra band, which encircles the wearer's rib cage.…”

Section: Literature Reviewmentioning

confidence: 99%

Design a Bra Sizing System for Vietnamese Women Based on 3d Scan Data

NGUYEN,

TRAN,

PENG

et al. 2023

Fibres and Textiles

View full text Add to dashboard Cite

show abstract

“…In another work, the breast arc length, which is utilized as a critical dimension when making bra cup patterns, was determined to develop a new bra sizing system. 11 In a report on the aesthetics of breast shapes, Liang et al 12 classified female breasts into nine types based on two parameters (breast distance and the height of the breast points). In an investigation of breast shape preferences, breasts were identified into 12 shapes according to the displacement values for the concave and convex upper poles.…”

mentioning

confidence: 99%

Selection of breast features for young women in northwestern China based on the random forest algorithm

Zhou

Mao

Zhang

et al. 2021

Textile Research Journal

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In the research of breast morphology, numerous breast features are measured, whereas only a few parameters are adopted for classification. Therefore, how to extract the key variables from the multi-dimensional features in a rational way is an issue that is focused upon. This study aimed to reduce the complexity of the dimensionality reduction for further improving the objectivity and interpretability of the selected breast features. Since the random forest (RF) algorithm can quantify the feature importance during training, the method was adopted to determine the optimal breast features for classification and recognition in this paper. Firstly, the anthropometric data of 360 females from northwestern China aged from 19 to 27 years were measured by non-contact three-dimensional body scanning technology and the contact manual measurement method. Then, the k-means clustering was applied to categorize breast shapes, and the RF algorithm was utilized to quantify and rank the importance of 25 breast features. Finally, to verify the availability of the RF algorithm on breast feature selection, the t-distributed stochastic neighbor embedding method was adopted to visualize the distribution of breast shape clusters into two dimensions. Meanwhile, four neural networks were determined to recognize the breast morphology. The results demonstrate that fewer breast features can effectively increase the accuracy of breast shape classification and recognition. The best performance of breast shape classification and recognition is obtained when the number of breast features is 13. In this case, the average Hamming loss of four neural networks is the smallest (0.1136). Interestingly, the bust circumference and the horizontal curve of breasts across the bust points are found to be the most important of the 25 breast features in this paper. The importance of the breast curve features is higher than that of the breast cross-sectional features, while the breast positioning features have the lowest importance. Meanwhile, the RF algorithm is verified to be more effective than traditional dimensionality reduction methods, such as principal component analysis, hierarchical clustering, and recursive feature elimination. The approach developed in this paper can be generalized to the dimensionality reduction of other body morphology.

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“…16 Oh and Chun emphasized the importance of measuring breast size precisely in order to achieve good fit in bra design. 17 Lee and Hong studied the geometrical shape of the underbust curve and came up with an optimal design for the underwire that could provide better support for breasts. 18 Zheng and colleagues developed an enhanced bra sizing system with higher accommodation rates for Chinese females based on the anthropometric analysis of 456 nude breasts.…”

mentioning

confidence: 99%

Female breast shape categorization based on analysis of CAESAR 3D body scan data

Pei

Park

Ashdown

2018

Textile Research Journal

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In this study we explore the variation in female breast shape across the younger (age: 18–45), non-obese (BMI < 30) North American Caucasian population, a population that has not previously been well-represented in studies of breast shape. A method of classifying breast shape was developed based on multiple data-mining techniques. Forty-one relative measurements (i.e., ratios and angles) were constructed from 66 raw measurements (circumferences, depths, widths, etc.), extracted from 478 CAESAR (Civilian American and European Surface Anthropometry Resource) scans, using self-developed Matlab® programs. Seventy subjects were regarded as outliers and were removed. The remaining data were transformed and standardized to ensure robust analysis. To judge results, an algorithm was developed to visualize clustering outcomes in the form of side profiles of breasts. The results of three clustering methods, namely hierarchical, K-means, and K-medoids clustering, were compared. Finally, breast shapes were categorized into three and five groups by two different cluster number selection criteria proposed by the study: (1) based on misclassification rate; (2) based on the goodness-of-fit of the model. Several of the relative body measurements were identified to be critical in defining breast shape. The findings and the proposed methods of this study can contribute to the development of improved shape and sizing systems of bra products that work for both manufacturers and consumers. The new methodology developed in this study can also be applied to other types of intimate apparel products where an understanding of body shape plays a key role in body support, comfort, and fit.

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New Breast Measurement Technique and Bra Sizing System Based on 3D Body Scan Data

Cited by 12 publications

References 18 publications

Design a Bra Sizing System for Vietnamese Women Based on 3d Scan Data

Design a Bra Sizing System for Vietnamese Women Based on 3d Scan Data

Selection of breast features for young women in northwestern China based on the random forest algorithm

Female breast shape categorization based on analysis of CAESAR 3D body scan data

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